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Information retrieval techniques: Lecture 26

Information retrieval techniques: Lecture 26. The main topics covered in this chapter include: precision and recall; computing recall/precision; interpolating a recall/precision; average recall/precision curve; r-precision; precision@k; f-measure; e measure;... Please refer to the content of document.

4/11/2023 9:00:04 AM +00:00

Information retrieval techniques: Lecture 25

Information retrieval techniques: Lecture 25. The main topics covered in this chapter include: benchmarks for the evaluation of IR systems; evaluation measures; precision and recall; unranked retrieval evaluation; trade-off between recall and precision; computing recall/precision points;... Please refer to the content of document.

4/11/2023 8:59:43 AM +00:00

Information retrieval techniques: Lecture 24

Information retrieval techniques: Lecture 24. The main topics covered in this chapter include: benchmarks for the evaluation of IR systems; happiness: elusive to measure; gold standard; search algorithm; relevance judgments; standard relevance benchmarks; evaluating an IR system;... Please refer to the content of document.

4/11/2023 8:59:10 AM +00:00

Information retrieval techniques: Lecture 23

Information retrieval techniques: Lecture 23. The main topics covered in this chapter include: performance evaluation of information retrieval systems; why system evaluation; difficulties in evaluating IR systems; measures for a search engine; measuring user happiness; how do you tell if users are happy;... Please refer to the content of document.

4/11/2023 8:58:54 AM +00:00

Information retrieval techniques: Lecture 22

Information retrieval techniques: Lecture 22. The main topics covered in this chapter include: spelling correction; matching trigrams; computing jaccard coefficient; context-sensitive spell correction; general issues in spell correction;... Please refer to the content of document.

4/11/2023 8:58:41 AM +00:00

Information retrieval techniques: Lecture 21

Information retrieval techniques: Lecture 21. The main topics covered in this chapter include: spelling correction; edit distance; using edit distances; weighted edit distance; n-gram overlap; one option – Jaccard coefficient;... Please refer to the content of document.

4/11/2023 8:58:30 AM +00:00

Information retrieval techniques: Lecture 20

Information retrieval techniques: Lecture 20. The main topics covered in this chapter include: spelling correction; spell correction; document correction; query mis-spellings; isolated word correction; edit distance; fibonacci series;... Please refer to the content of document.

4/11/2023 8:58:24 AM +00:00

Information retrieval techniques: Lecture 19

Information retrieval techniques: Lecture 19. The main topics covered in this chapter include: permuterm index; k-gram; soundex; bigram (k-gram) indexes; processing wild-cards; k-gram index; soundex – typical algorithm;... Please refer to the content of document.

4/11/2023 8:58:13 AM +00:00

Information retrieval techniques: Lecture 18

Information retrieval techniques: Lecture 18. The main topics covered in this chapter include: wild card queries; how to handle wild-card queries; B tree; B+ tree; permuterm index; K-grams; soundex algorithms;... Please refer to the content of document.

4/11/2023 8:58:01 AM +00:00

Information retrieval techniques: Lecture 17

Information retrieval techniques: Lecture 17. The main topics covered in this chapter include: processing a phrase query; proximity queries; combination schemes; positional index size; rules of thumb; wild card queries;... Please refer to the content of document.

4/11/2023 8:57:53 AM +00:00

Information retrieval techniques: Lecture 16

Information retrieval techniques: Lecture 16. The main topics covered in this chapter include: phrase queries; types of queries; phrase queries; biword indexes; extended biwords; positional indexes;... Please refer to the content of document.

4/11/2023 8:57:44 AM +00:00

Information retrieval techniques: Lecture 15

Information retrieval techniques: Lecture 15. The main topics covered in this chapter include: merge sort; two-way merge sort; single-pass in-memory indexing (SPIMI); SPIMI-invert; linked list based indexing; array based indexing;... Please refer to the content of document.

4/11/2023 8:57:30 AM +00:00

Information retrieval techniques: Lecture 14

Information retrieval techniques: Lecture 14. The main topics covered in this chapter include: index constructions; scaling index construction; memory hierarchy; hard disk tracks and sectors; hard disk blocks; hardware basics;... Please refer to the content of document.

4/11/2023 8:57:19 AM +00:00

Information retrieval techniques: Lecture 13

Information retrieval techniques: Lecture 13. The main topics covered in this chapter include: variable byte (VB) codes; unary code; gamma codes; gamma code properties; gamma seldom used in practice; RCV1 compression; index compression summary;... Please refer to the content of document.

4/11/2023 8:57:07 AM +00:00

Information retrieval techniques: Lecture 12

Information retrieval techniques: Lecture 12. The main topics covered in this chapter include: blocking; front coding; postings compression; postings two conflicting forces; variable byte (VB) codes; dictionary as a string;;... Please refer to the content of document.

4/11/2023 8:56:54 AM +00:00

Information retrieval techniques: Lecture 11

Information retrieval techniques: Lecture 11. The main topics covered in this chapter include: compression for inverted indexes; dictionary storage; fixed-width terms are wasteful; dictionary-as-a-string; blocking;... Please refer to the content of document.

4/11/2023 8:56:43 AM +00:00

Information retrieval techniques: Lecture 10

Information retrieval techniques: Lecture 10. The main topics covered in this chapter include: lemmatization; stemming; porter’s algorithm; typical rules in porter; Paice/Husk stemmer; language-specificity;... Please refer to the content of document.

4/11/2023 8:56:35 AM +00:00

Information retrieval techniques: Lecture 9

Information retrieval techniques: Lecture 9. The main topics covered in this chapter include: terms normalization; normalization; case folding; normalization to terms; thesauri and soundex;... Please refer to the content of document.

4/11/2023 8:56:24 AM +00:00

Information retrieval techniques: Lecture 8

Information retrieval techniques: Lecture 8. The main topics covered in this chapter include: parsing a document; complications: format/language; precision and recall; tokenization; numbers; tokenization: language issues; stop words;... Please refer to the content of document.

4/11/2023 8:56:12 AM +00:00

Information retrieval techniques: Lecture 7

Information retrieval techniques: Lecture 7. The main topics covered in this chapter include: parsing documents; basic indexing pipeline; inverted index; cosine similarity measure; time complexity of indexing; retrieval with an inverted index; inverted query retrieval efficiency;... Please refer to the content of document.

4/11/2023 8:56:06 AM +00:00

Information retrieval techniques: Lecture 6

Information retrieval techniques: Lecture 6. The main topics covered in this chapter include: similarity measures; cosine similarity measure; basic indexing pipeline; sparse vectors; inverted index; vector space model; basic indexing pipeline;... Please refer to the content of document.

4/11/2023 8:55:59 AM +00:00

Information retrieval techniques: Lecture 5

Information retrieval techniques: Lecture 5. The main topics covered in this chapter include: TF-IDF weighting; document representation in vector space; query representation in vector space; similarity measures; jaccard coefficient;... Please refer to the content of document.

4/11/2023 8:55:47 AM +00:00

Information retrieval techniques: Lecture 4

Information retrieval techniques: Lecture 4. The main topics covered in this chapter include: vector space retrieval model; the vector model; term frequency tf; document frequency; tf-idf weighting; binary term-document incidence matrix;... Please refer to the content of document.

4/11/2023 8:55:35 AM +00:00

Information retrieval techniques: Lecture 3

Information retrieval techniques: Lecture 3. The main topics covered in this chapter include: boolean retrieval model; rank retrieval model; information retrieval ingredients; westlaw; documents representation; query formulation; query processing;... Please refer to the content of document.

4/11/2023 8:55:24 AM +00:00

Information retrieval techniques: Lecture 2

Information retrieval techniques: Lecture 2. The main topics covered in this chapter include: what is information retrieval; IR models; the boolean model; considerations on the boolean model;... Please refer to the content of document.

4/11/2023 8:55:13 AM +00:00

Information retrieval techniques: Lecture 1

Information retrieval techniques: Lecture 1. The main topics covered in this chapter include: library management system; structured data storage/tables; semi-structured and unstructured; employee department salary; information retrieval models; search computing;... Please refer to the content of document.

4/11/2023 8:55:04 AM +00:00

Lecture Data mining: Lesson 22

Lecture Data mining: Lesson 22. The main topics covered in this chapter include: text and web search; text databases; information retrieval; basic measures for text retrieval; information retrieval techniques; full-text scanning; Tex - Detailed outline;... Please refer to the content of document.

4/11/2023 8:11:57 AM +00:00

Lecture Data mining: Lesson 21

Lecture Data mining: Lesson 21. The main topics covered in this chapter include: outlier discovery/anomaly detection; credit card fraud detection; telecommunication fraud detection; network intrusion detection; fault detection;... Please refer to the content of document.

4/11/2023 8:11:50 AM +00:00

Lecture Data mining: Lesson 20

Lecture Data mining: Lesson 20. The main topics covered in this chapter include: dimensionality reduction; high-dimensional datasets; multi-dimensional scaling; pseudo-projections; Monte-Carlo algorithm;... Please refer to the content of document.

4/11/2023 8:11:44 AM +00:00

Lecture Data mining: Lesson 19

Lecture Data mining: Lesson 19. The main topics covered in this chapter include: data stream mining and querying; data streams - computation model; data stream processing algorithms; probabilistic guarantees; computing stream sample; cash-register model;... Please refer to the content of document.

4/11/2023 8:11:38 AM +00:00